Chap 2: Integers and addition

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Transcript Chap 2: Integers and addition

Cosc 2150:
Computer Organization
Chapter 2
Part 1 Integers
addition and subtraction
Introduction
• A bit is the most basic unit of information in a
computer.
—It is a state of “on” or “off” in a digital circuit.
—Sometimes these states are “high” or “low” voltage
instead of “on” or “off..”
• A byte is a group of eight bits.
—A byte is the smallest possible addressable unit of
computer storage.
—The term, “addressable,” means that a particular
byte can be retrieved according to its location in
memory.
Introduction (2)
• A word is a contiguous group of bytes.
—Words can be any number of bits or bytes.
—Word sizes of 16, 32, or 64 bits are most common.
—In a word-addressable system, a word is the
smallest addressable unit of storage.
• A group of four bits is called a nibble.
—Bytes, therefore, consist of two nibbles: a “highorder nibble,” and a “low-order” nibble.
Positional Numbering Systems
• Bytes store numbers using the position of each
bit to represent a power of 2.
—The binary system is also called the base-2 system.
—Our decimal system is the base-10 system. It uses
powers of 10 for each position in a number.
—Any integer quantity can be represented exactly
using any base (or radix).
Positional Numbering Systems (2)
• The decimal number 947 in powers of 10 is:
9  102 + 4  101 + 7  100
• The decimal number 5836.47 in powers of 10 is:
5  103 + 8  102 + 3  101 + 6  100
+ 4  10-1 + 7  10-2
Positional Numbering Systems (3)
• The binary number 11001 in powers of 2 is:
1  24 + 1  23 + 0  22 + 0  21 + 1  20
= 16
+ 8
+ 0
+
0
+ 1 = 25
• When the radix of a number is something other
than 10, the base is denoted by a subscript.
—Sometimes, the subscript 10 is added for emphasis:
110012 = 2510
Converting Between Bases
• A method of converting integers from decimal to
some other radix/base uses division.
• This method is mechanical and easy.
• It employs the idea that successive division by a
base is equivalent to successive subtraction by
powers of the base.
• Let’s use the division remainder method to again
convert 190 in decimal to base 3.
Converting Between Bases
• Converting 190 to base 3...
—First we take the number
that we wish to convert
and divide it by the radix
in which we want to
express our result.
—In this case, 3 divides
190 63 times, with a
remainder of 1.
—Record the quotient and
the remainder.
Converting Between Bases
• Converting 190 to base 3...
—63 is evenly divisible by
3.
—Our remainder is zero,
and the quotient is 21.
Converting Between Bases
• Converting 190 to base 3...
—Continue in this way until
the quotient is zero.
—In the final calculation, we
note that 3 divides 2 zero
times with a remainder of
2.
—Our result, reading from
bottom to top is:
19010 = 210013
Converting algorithm
• To convert between Base 10 and Base 2 (or any
base for that matter)
• value = <number to be converted>
• loop until value is 0
digit = value mod base
value = value / base (integer division)
end loop
• Read digits in reverse order
Examples
• to convert 8 to binary
• 0 = 8 mod 2, v=8/2 = 4
• 0 = 4 mod 2, v=4/2 = 2
• 0 = 2 mod 2, v=2/2 = 1
• 1 = 1 mod 2, v=1/2 = 0
• 1000 = 8
To get to 8 bits, pack with
zeros
• 00001000 = 8
•
•
•
•
•
•
12 to binary
0=12 mod 2, v=12/2=6
0=6 mod 2, v=6/2=3
1=3 mod 2, v=3/2=1
1=1 mod 2, v=1/2=0
1100 = 12
• 00001100 = 12
Binary to Base 10
• value = 0
• loop I=0 to length(string –1)
digit = string[I]
value += digit*base^I
end loop
Example
•
•
•
•
•
•
•
1000 to Base 10
v=0
v += 0* 2^0=0
v += 0* 2^1=0
v += 0* 2^2=0
v += 1* 2^3=8
1000 = 8
•
•
•
•
•
•
•
1100 to Base 10
v=0
v += 0* 2^0=0
v += 0* 2^1=0
v += 1* 2^2=4
v += 1* 2^3=12
1100 = 12
Signed Integer Representation
• The conversions we have so far presented have
involved only unsigned numbers.
• To represent signed integers, computer systems
allocate the high-order bit to indicate the sign of a
number.
—The high-order bit is the leftmost bit. It is also
called the most significant bit.
— 0 is used to indicate a positive number; 1 indicates
a negative number.
• The remaining bits contain the value of the number
(but this can be interpreted different ways)
Signed Integer Representation (2)
• There are three ways in which signed binary
integers may be expressed:
—Signed magnitude
—One’s complement
—Two’s complement
• In an 8-bit word, signed magnitude
representation places the absolute value of
the number in the 7 bits to the right of the
sign bit.
Signed Integer Representation (3)
• For example, in 8-bit signed magnitude
representation:
+3 is:
- 3 is:
00000011
10000011
• Computers perform arithmetic operations on
signed magnitude numbers in much the same
way as humans carry out pencil and paper
arithmetic.
—Problems:
– Need to consider both sign and magnitude in arithmetic
BAD!
– Two representations of zero (+0 and -0)
+ REALLY REALLY BAD!
—The fix is to use two-complement.
Two’s complement
• To express a value in two’s complement
representation:
—If the number is positive, just convert it to binary
and you’re done.
—If the number is negative, find the one’s
complement of the number and then add 1.
• Example:
—In 8-bit binary, 3 is:
00000011
—-3 using one’s complement representation is:
11111100
—Adding 1 gives us -3 in two’s complement form:
11111101.
Two’s Compliment
•
•
•
•
•
•
•
+3 = 00000011
+2 = 00000010
+1 = 00000001
+0 = 00000000
-1 = 11111111
-2 = 11111110
-3 = 11111101
How to: 2’s Complement
• +2 = 0010
• reverse numbers
1101
• Then add 1 (binary)
1110
• So 1110 = -2
• Can positive 8, be
represented in 4 bits?
No, because –8 is 1000
Called an Overflow!
• -7 = 1001
0110 (reversed)
0111 (add 1)
+7 = 0111
Benefits
• One representation of zero
• Arithmetic works easily
• Negating is fairly easy
—3 = 00000011
—Boolean complement gives 11111100
—Add 1 to LSB
11111101
Negation Special Case 1
•
•
•
•
•
•
0=
00000000
Bitwise not
11111111
Add 1 to LSB
+1
Result
1 00000000
Overflow is ignored, so:
-0=0
Negation Special Case 2
•
•
•
•
•
•
-128 =
bitwise not
Add 1 to LSB
Result
So:
-128 = -128
10000000
01111111
+1
10000000
X
Range of Numbers
• 8 bit 2s compliment
—+127 = 01111111 = 27 -1
— -128 = 10000000 = -27
• 16 bit 2s compliment
—+32767 = 011111111 11111111 = 215 - 1
— -32768 = 100000000 00000000 = -215
Conversion Between Lengths
• Positive number pack with leading zeros
—+18 =
00010010
—+18 = 00000000 00010010
• Negative numbers pack with leading ones
—-110 =
10010010
—-110 = 11111111 10010010
• i.e. pack with MSB (sign bit)
Binary Addition
• Binary addition is as easy as it gets. You need
to know only four rules:
0 + 0 =
1 + 0 =
0
1
0 + 1 = 1
1 + 1 = 10
• The simplicity of this system makes it
possible for digital circuits to carry out
arithmetic operations.
—We will describe these circuits later on.
Addition and Subtraction
• Normal binary addition
• Monitor sign bit for overflow
• Take twos compliment of subtrahend and add to
minuend
— i.e. a - b = a + (-b)
• So we only need addition and complement circuits
Two complement addition
• With two’s complement arithmetic, all we do is add
our two binary numbers. Just discard any carry
emitting from the high order bit.
– Example: Using one’s
complement binary
arithmetic, find the sum of
48 and - 19.
carry
We note that 19 in binary is:
00010011,
so -19 using one’s complement is: 11101100,
and -19 using two’s complement is: 11101101.
Overflow
• When we use any finite number of bits to
represent a number, we always run the risk of
the result of our calculations becoming too large
or too small to be stored in the computer.
• While we can’t always prevent overflow, we can
always detect overflow.
• In complement arithmetic, an overflow condition
is easy to detect.
Overflow detection
• Example:
—Using two’s complement binary
arithmetic, find the sum of 107
and 46.
• But here with have the erroneous
result: 107 + 46 = -103.
• Overflow
—When two numbers are added
and they have the same sign and
the result has the opposite sign
– An overflow is not possible when
adding to number of different signs.
Addition and subtraction Examples
• (-7) + (+5) = -2
11001 = -7
+00101 = +5
11110 = -2
• 2 + (-7) = -5
00010 = 2
+11001 = -7
11011 = -5
• (+12) + (+7) = 19
01100 = +12
+00111 = +7
10011 = -13 Overflow!!
• 7 + (-5) = 2
00111 = 7
+11011 = +(-5)
100010 = 2
Note the carry!
Addition and subtraction Examples (2)
• 2 – (-3) =5 (2 + 3 = 5)
00010 = 2
+00011 = 3 (-3 negated)
00101 = 5
• -9–8 =-17 (-9+(-8)=-17)
10111 = -9
+11000 = -8
101111 = 15
Overflow and carry!
Hardware for Addition and Subtraction
Q&A